Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2981–2990 of 4856 papers

Title	Date	Tasks	Status
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization	Dec 19, 2024	Anomaly DetectionComputational Efficiency	—Unverified
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series	Aug 3, 2022	Anomaly DetectionImputation	—Unverified
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series	May 31, 2022	Anomaly DetectionTime Series	—Unverified
Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers	Jul 29, 2022	Anomaly Detectionregression	—Unverified
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption	Mar 2, 2023	Anomaly DetectionDenoising	—Unverified
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification	Jun 26, 2017	Anomaly DetectionClassification	—Unverified
Robust Spectral Filtering and Anomaly Detection	Aug 3, 2018	Anomaly Detection	—Unverified
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks	Feb 21, 2020	Anomaly DetectionData Augmentation	—Unverified
Robust training on approximated minimal-entropy set	Oct 21, 2016	Anomaly DetectionGeneral Classification	—Unverified
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction	Nov 5, 2020	Anomaly DetectionPrediction	—Unverified

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified